Collaboratively solving an optimization problem using first and second optimization software each having at least partial information concerning the optimization problem

• US 6,731,998 B2
• Filed: 03/20/2003
• Issued: 05/04/2004
• Est. Priority Date: 03/07/2000
• Status: Expired due to Term

• Current Assignee: Blue Yonder Group, Inc. (Panasonic Holdings Corporation)
• Original Assignee: i2 Technologies US Incorporated (Panasonic Holdings Corporation)
• Inventors: Joslin, David E., Schmidt, Craig W., Walser, Joachim Paul
• Primary Examiner(s): FEDOWITZ, MATTHEW L
• Assistant Examiner(s): Bahta, Kidest
• Application Number:
  US10/393,793
• Publication Number:
  US 20030167098A1
• Time in Patent Office: 411 Days
• Field of Search: 700/99, 700/97, 700/100, 700/106, 700/102, 700/28, 705/8, 705/7
• US Class Current: 700/99
• CPC Class Codes: G06F 9/4887 involving deadlines, e.g. rate based, periodic
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202

Abstract

In one embodiment, a method is provided for collaboratively solving an optimization problem using at least first optimization software and second optimization software each having at least partial information concerning the optimization problem. The method includes: (1) determining a solution to a first sub-problem of the optimization problem using the first optimization software based on the at least partial information concerning the optimization problem known to the first optimization software; (2) communicating from the first optimization software to the second optimization software the solution to the first sub-problem and information concerning one or more penalties for deviating from the solution to the first sub-problem; and (3) determining a solution to a second sub-problem using the second optimization software based on the at least partial information concerning the optimization problem known to the second optimization software, the communicated solution to the first sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the first sub-problem.

Claims

1. A method for collaboratively solving an optimization problem using at least first optimization software and second optimization software each having at least partial information concerning the optimization problem, comprising:

determining a solution to a first sub-problem of the optimization problem using the first optimization software based on the at least partial information concerning the optimization problem known to the first optimization software;

communicating from the first optimization software to the second optimization software the solution to the first sub-problem and information concerning one or more penalties for deviating from the solution to the first sub-problem; and

determining a solution to a second sub-problem of the optimization problem using the second optimization software based on the at least partial information concerning the optimization problem known to the second optimization software, the communicated solution to the first sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the first sub-problem.

2. The method of claim 1, further comprising:

communicating from the second optimization software to third optimization software the solution to the second sub-problem and information concerning one or more penalties for deviating from the solution to the second sub-problem; and

determining a solution to a third sub-problem of the optimization problem using the third optimization software based on at least partial information concerning the optimization problem known to the third optimization software, the communicated solution to the second sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the second sub-problem.

3. The method of claim 2, wherein:

the first and third optimization software are different optimization software; and

the first and third sub-problems are different sub-problems.

4. The method of claim 2, wherein:

the first and third optimization software are the same optimization software;

the first and third sub-problems are the same sub-problem; and

solutions to sub-problems of the optimization problem are determined repeatedly in an iterative manner using the first, second, and third optimization software until a sufficiently optimal solution to the optimization problem is obtained.

5. The method of claim 2, further comprising:

determining solutions to one or more successive sub-problems of the optimization problem using one or more successive optimization software until last optimization software has determined a solution to a last sub-problem;

communicating from the last optimization software to the first optimization software the solution to the last sub-problem and information concerning one or more penalties for deviating from the solution to the last sub-problem; and

repeating the preceding steps in an iterative manner until a sufficiently optimal solution to the optimization problem is obtained.

6. The method of claim 1, wherein:

the first optimization software comprises batch aggregation software operable to aggregate product batches according to one or more aggregation criteria; and

the second optimization software comprises scheduling software operable to schedule the aggregated product batches according to one or more scheduling criteria.

7. The method of claim 1, wherein:

the first optimization software comprises batch aggregation software operable to allocate one or more product demands to one or more product batches having suggested sizes and suggested starting times, the solution to the first-sub problem comprising suggested sizes and suggested starting times;

the second optimization software comprises scheduling software operable to schedule starting times for one or more of the product batches, the solution to the second-sub problem comprising the starting times for the one or more product batches; and

the one or more penalties comprise penalties for deviating from at least one of the suggested sizes or at least one of the suggested starting times.

8. A system for collaboratively solving an optimization problem, comprising:

first optimization software operable to;

determine a solution to a first sub-problem of the optimization problem based on at least partial information concerning the optimization problem known to the first optimization software; and

communicate the solution to the first sub-problem and information concerning one or more penalties for deviating from the solution to the first sub-problem; and

second optimization software operable to;

determine a solution to a second sub-problem of the optimization problem based on at least partial information concerning the optimization problem known to the second optimization software, the communicated solution to the first sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the first sub-problem.

9. The system of claim 8, wherein:

the second optimization software is further operable to communicate the solution to the second sub-problem and information concerning one or more penalties for deviating from the solution to the second sub-problem; and

the system further comprises third optimization software operable to determine a solution to a third sub-problem of the optimization problem based on at least partial information concerning the optimization problem known to the third optimization software, the communicated solution to the second sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the second sub-problem.

10. The system of claim 9, wherein:

the first and third optimization software are different optimization software; and

the first and third sub-problems are different sub-problems.

11. The system of claim 9, wherein:

the first and third optimization software are the same optimization software;

the first and third sub-problems are the same sub-problem; and

solutions to sub-problems of the optimization problem are determined repeatedly in an iterative manner using the first, second, and third optimization software until a sufficiently optimal solution to the optimization problem is obtained.

12. The system of claim 9, further comprising one or more successive optimization software including at least last optimization software wherein:

solutions are determined to one or more successive sub-problems of the optimization problem using the one or more successive optimization software until the last optimization software has determined a solution to a last sub-problem;

the solution to the last sub-problem and information concerning one or more penalties for deviating from the solution to the last sub-problem are communicated from the last optimization software to the first optimization software; and

the preceding operations are repeated in an iterative manner until a sufficiently optimal solution to the optimization problem is obtained.

13. The system of claim 8, wherein:

the first optimization software comprises batch aggregation software that aggregates product batches according to one or more aggregation criteria; and

the second optimization software comprises scheduling software that schedules the aggregated product batches according to one or more scheduling criteria.

14. The system of claim 8, wherein:

the first optimization software comprises batch aggregation software that allocates one or more product demands to one or more product batches having suggested sizes and suggested starting times, the solution to the first-sub problem comprising suggested sizes and suggested starting times;

the second optimization software comprises scheduling software that schedules starting times for one or more of the product batches, the solution to the second-sub problem comprising the starting times for the one or more product batches; and

the one or more penalties comprise penalties for deviating from at least one of the suggested sizes or at least one of the suggested starting times.

15. Software for collaboratively solving an optimization problem, the software comprising at least first optimization software and second optimization software each having at least partial information concerning the optimization problem, the software embodied in computer-readable media and when executed operable to:

determine a solution to a first sub-problem of the optimization problem using the first optimization software based on at least partial information concerning the optimization problem known to the first optimization software;

communicate from the first optimization software to the second optimization software the solution to the first sub-problem and information concerning one or more penalties for deviating from the solution to the first sub-problem; and

determine a solution to a second sub-problem of the optimization problem using the second optimization software based on at least partial information concerning the optimization problem known to the second optimization software, the communicated solution to the first sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the first sub-problem.

16. The software of claim 15, further operable to:

communicate from the second optimization software to third optimization software the solution to the second sub-problem and information concerning one or more penalties for deviating from the solution to the second sub-problem; and

determine a solution to a third sub-problem of the optimization problem using the third optimization software based on at least partial information concerning the optimization problem known to the third optimization software, the communicated solution to the second sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the second sub-problem.

17. The software of claim 16, wherein:

the first and third optimization software are different optimization software; and

the first and third sub-problems are different sub-problems.

18. The software of claim 16, wherein:

the first and third optimization software are the same optimization software;

the first and third sub-problems are the same sub-problem; and

solutions to sub-problems of the optimization problem are determined repeatedly in an iterative manner using the first, second, and third optimization software until a sufficiently optimal solution to the optimization problem is obtained.

19. The software of claim 16, further comprising one or more successive optimization software including at least last optimization software and operable to:

determine solutions to one or more successive sub-problems of the optimization problem using the one or more successive optimization software until the last optimization software has determined a solution to a last sub-problem;

communicate from the last optimization software to the first optimization software the solution to the last sub-problem and information concerning one or more penalties for deviating from the solution to the last sub-problem; and

repeat the preceding steps in an iterative manner until a sufficiently optimal solution to the optimization problem is obtained.

20. The software of claim 15, wherein:

the first optimization software comprises batch aggregation software operable to aggregate product batches according to one or more aggregation criteria; and

the second optimization software comprises scheduling software operable to schedule the aggregated product batches according to one or more scheduling criteria.

21. The software of claim 15, wherein:

the first optimization software comprises batch aggregation software operable to allocate one or more product demands to one or more product batches having suggested sizes and suggested starting times, the solution to the first-sub problem comprising suggested sizes and suggested starting times;

the second optimization software comprises scheduling software operable to schedule starting times for one or more of the product batches, the solution to the second-sub problem comprising the starting times for the one or more product batches; and

the one or more penalties comprise penalties for deviating from at least one of the suggested sizes or at least one of the suggested starting times.